Arabic Text Diacritization

Arabic text diacritization (ATD) focuses on automatically adding diacritical marks to Arabic text to improve readability and reduce ambiguity. Recent research heavily utilizes transformer-based models, often pre-trained on large multilingual corpora and fine-tuned for this specific task, achieving state-of-the-art results through techniques like noisy student training and multi-source learning. Furthermore, investigations into partial diacritization, aiming to add marks only where necessary to optimize readability, are gaining traction, highlighting the importance of considering human reading behavior in model development. These advancements significantly improve Arabic text processing for applications like machine translation and text-to-speech, benefiting both computational linguistics and practical language technologies.